Tree Consistency

Tree Consistency is a theoretical construct in decision tree learning that characterizes the degree to which the structure and predictions of a decision tree remain stable and logically coherent under perturbations or resampling of the training data.

21

Publications

1.5K

Citations

61

Authors

42

Institutions

Publications per year

2017–2026

2

Authors

61

  1. AS
    Alan S. Willsky

    Massachusetts Institute of Technology, United States

    2 publications · 374 citations

    2

    h-index

  2. JM
    Jean‐Marc Moisselin

    Météo-France, France

    2 publications · 144 citations

    2

    h-index

  3. ZM
    Zhengping Ma

    Indiana University Bloomington, United States

    2 publications · 96 citations

    2

    h-index

  4. TJ
    Tommi Jaakkola

    Massachusetts Institute of Technology, United States

    2 publications · 374 citations

    2

    h-index

  5. VM
    Valérie Masson‐Delmotte

    Laboratoire des Sciences du Climat et de l'Environnement, France

    2 publications · 144 citations

    2

    h-index

1–5 of 61

Venues

  1. Journal of Experimental Psychology General

    2 publications · 96 citations

    2

    h-index

  2. Tellus B

    2 publications · 144 citations

    2

    h-index

  3. ArXiv.org

    Repository · 1 publications · 13 citations

    1

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 1 publications · 43 citations

    1

    h-index

  5. Journal of Artificial Intelligence Research

    JAIR · 1 publications · 99 citations

    1

    h-index

1–5